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PRODID:IEEE vTools.Events//EN
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TZID:Mexico/General
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BEGIN:VEVENT
DTSTAMP:20210507T180630Z
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DTSTART;TZID=Mexico/General:20210519T200000
DTEND;TZID=Mexico/General:20210519T213000
DESCRIPTION:Abstract:\n\nThis tutorial will focus on innovative digital hea
 lth ecosystem and analytics system which fosters extension of telemedicine
  through the transfer of comprehensive medical expertise and experiences v
 ia Artificial Intelligence (AI) from tertiary medical centers to remote ca
 re facilities in making healthcare more accessible! Cancer is among the mo
 st important issues of healthcare worldwide. However\, under current medic
 al systems\, diagnosis of these severe diseases is commonly delayed\, espe
 cially in remote locations with limited medical resources. Hence it is nec
 essary to facilitate early screening at these distant care units using Com
 puter-Aided-Diagnostic (CAD) tools possessing tertiary centers’ experien
 ces accumulated through AI. In attempts to reform and advance the digital 
 health environment\, using skin care as example\, this tutorial introduces
  an ecosystem\, by which integration of remote care facilities is substant
 iated\, through utilization of high accuracy and efficiency of AI as exten
 sion of telemedicine! Being an exemplary\, this AI medical networking mode
 l is readily extensible to global medical and biotech communities! This tu
 torial will also introduce the speaker’s reconfigurable edge system for 
 the detection of Skin Cancer on mobile devices with more than 95% accuracy
 .\n\nSpeaker(s): Dr. Chris Lee\, \n\nGuadalajara\, Jalisco\, Mexico\, Virt
 ual: https://events.vtools.ieee.org/m/270827
LOCATION:Guadalajara\, Jalisco\, Mexico\, Virtual: https://events.vtools.ie
 ee.org/m/270827
ORGANIZER:r.calderonr@ieee.org
SEQUENCE:4
SUMMARY:Enabling Accessible Health and Wellness via AI Humanity\, by Dr. Ch
 ris Lee
URL;VALUE=URI:https://events.vtools.ieee.org/m/270827
X-ALT-DESC:Description: <br /><p><strong>Abstract:</strong></p>\n<p>This tu
 torial will focus on innovative digital health ecosystem and analytics sys
 tem which fosters extension of telemedicine through the transfer of compre
 hensive medical expertise and experiences via Artificial Intelligence (AI)
  from tertiary medical centers to remote care facilities in making healthc
 are more accessible! Cancer is among the most important issues of healthca
 re worldwide. However\, under current medical systems\, diagnosis of these
  severe diseases is commonly delayed\, especially in remote locations with
  limited medical resources. Hence it is necessary to facilitate early scre
 ening at these distant care units using Computer-Aided-Diagnostic (CAD) to
 ols possessing tertiary centers&rsquo\; experiences accumulated through AI
 . In attempts to reform and advance the digital health environment\, using
  skin care as example\, this tutorial introduces an ecosystem\, by which i
 ntegration of remote care facilities is substantiated\, through utilizatio
 n of high accuracy and efficiency of AI as extension of telemedicine! Bein
 g an exemplary\, this AI medical networking model is readily extensible to
  global medical and biotech communities! This tutorial will also introduce
  the speaker&rsquo\;s <strong>reconfigurable edge</strong> system for the 
 detection of Skin Cancer on <strong>mobile devices with more than 95% accu
 racy</strong>.</p>
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